Where to start with Data Science (list of ML / DL online courses and useful resources):
http://telegra.ph/Where-to-start-with-Data-Science-01-02
http://telegra.ph/Where-to-start-with-Data-Science-01-02
Telegraph
Where to start with Data Science
There is now way to be taught to be data scientist, but you can learn how to become one yourself. There is no right way, but there is a way, which was adopted by a number of data scientists and it goes through online courses (MOOC). Following suggested order…
GAN architecture provides extremely live-looking generated pictures.
https://medium.com/@Moscow25/gans-will-change-the-world-7ed6ae8515ca#.pskqd0wjw
https://medium.com/@Moscow25/gans-will-change-the-world-7ed6ae8515ca#.pskqd0wjw
Medium
GANs will change the world
It’s New Year’s 2017, so time to make predictions. Portfolio diversification has never been me, so I’ll make just one.
There is a new $1MM competition on Kaggle to use ML / AI to diagnose lung cancer from CT scans.
Not only it is the great breakthrough for Kaggle (it is the first competition with this huge prize fund), it is also a breakthrough for science, since top world researchers and enginners will compete to basically crowdsource and ease the lung cancer diagnostics.
Competition is available at: https://www.kaggle.com/c/data-science-bowl-2017
#kaggle #segmentation #deeplearning #cv
Not only it is the great breakthrough for Kaggle (it is the first competition with this huge prize fund), it is also a breakthrough for science, since top world researchers and enginners will compete to basically crowdsource and ease the lung cancer diagnostics.
Competition is available at: https://www.kaggle.com/c/data-science-bowl-2017
#kaggle #segmentation #deeplearning #cv
Kaggle
Data Science Bowl 2017
Can you improve lung cancer detection?
Trained agent was able to beat some humans in one-on-one no-limit Texas Holdem. It is not "beating human" yet.
https://www.technologyreview.com/s/603342/poker-is-the-latest-game-to-fold-against-artificial-intelligence/
https://www.technologyreview.com/s/603342/poker-is-the-latest-game-to-fold-against-artificial-intelligence/
MIT Technology Review
Poker Is the Latest Game to Fold Against Artificial Intelligence
Two research groups have developed poker-playing AI programs that show how computers can out-hustle the best humans.
New release in PyTorch: «GPU Tensors, Dynamic Neural Networks and deep Python integration. Hello world!»
http://pytorch.org
http://pytorch.org
Deep Learning Pipeline for Alzheimer’s Disease Prediction
https://devblogs.nvidia.com/parallelforall/nvidia-digits-alzheimers-disease-prediction/
#deeplearning #digits
https://devblogs.nvidia.com/parallelforall/nvidia-digits-alzheimers-disease-prediction/
#deeplearning #digits
NVIDIA Developer Blog
NVIDIA DIGITS Assists Alzheimer’s Disease Prediction | NVIDIA Developer Blog
Using NVIDIA DIGITS to train a Convolutional Neural Network model to predict Alzheimer’s disease from resting-state functional MRI (rs-fMRI) data.
Image-to-Image Translation in Tensorflow
http://affinelayer.com/pix2pix/index.html
#deeplearning #tf #dl
http://affinelayer.com/pix2pix/index.html
#deeplearning #tf #dl
Today Kaggle announced the launch of Two Sigma's new recruiting competition. In this competition, participants are invited to explore detailed NYC rental listing data from Two Sigma's competition co-sponsor, RentHop, to ease the often hectic process of finding the perfect home.
#kaggle
#kaggle
If you have any news worth spreading, please address @opendatasciencebot and send him a link with quick description.
Simple/limited/incomplete benchmark for scalability, speed and accuracy of machine learning libraries for classification.
https://github.com/szilard/benchm-ml
#github #opensource #worthspreading
https://github.com/szilard/benchm-ml
#github #opensource #worthspreading
GitHub
GitHub - szilard/benchm-ml: A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations…
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning al...
Best probability visualisations ever. If you struggling with basic Probability Theory concepts, or just want to review them, this site is the best for understanding/refreshing.
http://students.brown.edu/seeing-theory/
http://students.brown.edu/seeing-theory/
students.brown.edu
Brown University
Site Relocated
An article about using #cv to predict car manufacturer, political views and average household based on Google's Street View
https://arxiv.org/pdf/1702.06683.pdf
https://arxiv.org/pdf/1702.06683.pdf
Deep Image Matting
Image background segmentation.
https://arxiv.org/pdf/1703.03872.pdf
#cv #deeplearning
Image background segmentation.
https://arxiv.org/pdf/1703.03872.pdf
#cv #deeplearning